paper
2021
Extremes & hazards
Observations & remote sensing New model or method
CNN / U-NetNanjing University of Information Science & Technology (NUIST) Journal
2021-12-08
022
Dec 2021
Wei Tian, Xinxin Zhou, Wei Huang et al.
IEEE Geoscience and Remote Sensing Letters
Nanjing University of Information Science & Technology (NUIST)
3D-attention CNN estimates tropical cyclone intensity from multichannel IR, water vapour and microwave imagery, with RMSE 9.48 kt, 25% better than the Advanced Dvorak Technique.
Tropical Cyclone Intensity Estimation Using Multidimensional Convolutional Neural Network From Multichannel Satellite Imagery
In one sentence. 3D-attention CNN estimates tropical cyclone intensity from multichannel IR, water vapour and microwave imagery, with RMSE 9.48 kt, 25% better than the Advanced Dvorak Technique.
Labels
- Topic
- Extremes & hazards, Observations & remote sensing
- Type
- New model or method
- Method
- CNN / U-Net
- Domain
- Regional
- Data
- Satellite
- Status
- Research
- Identifiers
- DOI:10.1109/lgrs.2021.3134007 OpenAlex:W4206610887
- Added
- 2026-10-22
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